Unnecessity of Integrating Metabolic Indices into the Diagnosis of Polycystic Ovary Syndrome
- VernacularTitle:多囊卵巢综合征诊断中没有必要纳入代谢指标
- Author:
Mei QIU
;
Liangliang DING
;
Tingting JIANG
;
Xiaoyi LI
;
Jing PAN
- Keywords:
Polycystic ovary syndrome;
Principal component;
Logistic regression;
ROC curve;
Consistence;
Difference
- From:
Journal of Kunming Medical University
2016;37(9):104-108
- CountryChina
- Language:Chinese
-
Abstract:
Objective To discuss whether it is necessary to integrate metabolic indices into diagnosis of polycystic ovary syndrome (PCOS).Methods Taking ESHRE/ASRM diagnosis as the gold standard,51 women with PCOS and 47 women without PCOS were selected and divided into the intervention group and control group respectively from the Department of Gynecology in the Second Affiliated Hospital of Kunming Medical University between January 2013 and July 2014.Logistic regression based on principal component analysis and significant variables chosen through single factor analysis were used to establish the new diagnostic model which combined reproductive indices and metabolic indices.We evaluated the validity and reliability of the new diagnostic model by using ROC curve analysis.Finally,we analyzed the consistence and difference between the new diagnostic model and the gold standard.Results Thirteen significant variables were chosen using single factor analysis.ROC analysis showed that an area under the curve was 0.976 (P＜0.001) and the optimal cut-off point was 0.526 with a sensitivity of 96.08％,a specificity of 93.62％ and a consistency of93.88％.The new diagnostic model had superior validity and reliability.The two diagnostic methods had strong consistence (Kappa=0.877,P＜0.001) and no difference (x2=0.167,P=0.688).Conclusion Considering that the integration of metabolic indices does not change the diagnosis result,we come to a conclusion that it is unnecessary to integrate metabolic indices into diagnosis of PCOS.
